Artificial Intelligence and EMS

Advances in artificial intelligence impacts EMS

In the early 1980s, Jack Stout wrote a series in JEMS introducing the concepts of fractile response times, system status management (SSM) and high-performance EMS. For the next 15 years, he worked tirelessly to explore new thinking about how EMS was delivered.1

Jack showed us that knowledge is gained by capturing data, and that the insights gained could give us powerful information and make us more efficient.

SSM was revolutionary because Jack showed us all how to correlate computer aided dispatch data, incident dates, times and locations to predict peak times in order to schedule the right number of ambulances in the proper geographic post locations to manage call volume in an efficient and cost-effective manner.

SSM merged multiple data reports, often from multiple computer systems, into one readable report that factually calculated information that was undeniably correct. It was then up to system status managers to use the data and program computers, often manually, to deploy their resources.

If you think SSM was a powerful tool for EMS, wait until we introduce you to the use of drones and artificial intelligence (AI) in EMS at EMS Today: The JEMS Conference in Charlotte, N.C. It’s like SSM on steroids!

We’ll be introducing AI in a comprehensive, full-day preconference workshop on Tuesday, Feb. 20, and we’ll also present an amazing, fast-paced session on the same technologies on Wednesday, Feb. 21, from 10:00–11:30 a.m.

Source: Artificial Intelligence and EMS